Evidence map›Paper›PMID 28210550›Full record

ArticleGland surgery2017

Evaluating the performance of National Comprehensive Cancer Network (NCCN) breast and ovarian genetic/familial high risk assessment referral criteria for breast cancer women in an Asian surgical breast clinic.

Geok-Hoon Lim, Eillen Borje, John C Allen

Abstract read
In one paragraph

Article in Gland surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. National Estimates of Genetic Testing in Women With a History of Breast or Ovarian Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Geok-Hoon LimBreast Department, KK Women's and Children's Hospital, Singapore 229899, Singapore; ; Duke-NUS Graduate Medical School, Singapore 169857, Singapore.
Eillen BorjeBreast Department, KK Women's and Children's Hospital, Singapore 229899, Singapore.
John C AllenCentre for Quantitative Medicine, Duke NUS Graduate Medical School, Singapore 169857, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, resources for genomic services vary. Current National Comprehensive Cancer Network (NCCN) breast and ovarian genetic/familial high risk assessment criteria for further genetic risk evaluation are useful, but lack specificity for reliably excluding patients with low a priori risk. This may result in patient overload in lesser-equipped genetics clinics. Since we use Manchester and the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) risk assessment models in our genetics clinic to determine whether genetic testing is warranted, we chose Manchester and BOADICEA as the reference standard to compare how the NCCN breast and ovarian genetic/familial high risk assessment criteria for further genetic risk evaluation performs against these two risk assessment models in referring breast cancer patients for genetic evaluation.

methodsBreast cancer patients diagnosed from 2009-2011 were assessed using the NCCN criteria, Manchester and BOADICEA. Logistic regression and receiver operating characteristic (ROC) analysis were used to compare the NCCN criteria versus the Manchester and BOADICEA scoring systems in identifying high-risk patients.

resultsA total of 666 patients were included in the study. Percentages of high-risk patients resulting from Manchester and BOADICEA were 1.80% and 2.55%, respectively. Among the NCCN criteria, breast cancer and ≥1 close relatives with breast cancer at ≤50 years of age correlated best with Manchester and/or BOADICEA (c-statistic =0.831) with a false negative rate of 1.0%.

conclusionsBreast cancer at any age and ≥1 close relative with breast cancer at ≤50 years of age exhibited the highest correlation with Manchester and/or BOADICEA, promising greater specificity compared to the other NCCN criteria for segregating high risk, Asian breast cancer patients for referral to a genetics clinic, nevertheless recognizing the inherent limitations of the scoring systems.

Indexed as

Asian breast cancer patientsBOADICEA risk calculationgenetic risk evaluationManchester scoreNCCN criteria

Identifiers

PMID28210550
PMCPMC5293642

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.